GitLab

* Update openllm.yaml to use train fewshot split for arc

* Implementation of Winogender

* Minor fixes README.md

* Add winogender

* Clean winogender utils.py

* Change dataset to one containing All subsets

* Flesh out README for BBQ task

* Add missing tasks for BBQ

* Add simple cooccurrence bias task

* Fix wrong mask for ambiguated context+rename metrics

* Made generate_until evaluation (following PALM paper) default

Also moved separate config files per category to separate metrics using custom function.
Created config file for multiple_choice way of evaluating BBQ.

* Add missing version metadata

* Add missing versionmetadata for bbq multiple choice

* Fix metrics and address edge cases

* Made BBQ multiple choice the default version

* Added settings following winogrande

* Add num_fewshot to simple_cooccurrence_bias

* Fixes for bbq (multiple choice)

* Fix wrong dataset

* CrowS-Pairs: make it easier to use another dataset by removing dataset_name from the subsets.

* Use simplest prompt possible without description

* Merge

* BBQ: Fix np.NaN related bug

* BBQ: Fix wrong aggregation method for disamb accuracy

* BBQ: Make it possible to only evaluate on (dis)ambiguous subset (needed for few shot eval)

* BBQ: fix showing one target in case of few-shot evals

* BBQ: Fix few-shot example for bbq_generate

* BBQ: simplify subtasks

* BBQ: Minimize number of UNK variations to reduce inference time

* BBQ: Add extra UNK keywords for the generate task

* Add a generate_until version of simple_cooccurrence_bias

* Change system/description prompt to include few-shot examples

* Group agg rework

* Run pre-commit

* add tasks to readme table

* remove trailing space from simple_cooccurrence_bias_gen.yaml `doc_to_text`

* fix

* fix

* fix version

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Co-authored-by: Baber <baber@hey.com>

* Added audio-modality pipeline for qwen2-audio model

* Beauty imports

* fix apply_chat_template args

* update default audio placeholders list

* add demo task - common_voice subset

* add audiolm_qwen libs to pyproject.toml

* pre-commit beautify

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Co-authored-by: Alexandra Rak <rakalexandra@mail.ru>

minor bug fix, lm_eval.setup_logging -> setup_logging

* add instruct humaneval

* nit

* add to readme

* nit

* Capture gen_kwargs from CLI in squad_completion

* Update lm_eval/tasks/squad_completion/task.py
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>

* Update lm_eval/tasks/squad_completion/task.py
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>

* pre-commit

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Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: Baber <baber@hey.com>

* New healthcare benchmark: careqa

* LAUNCH_MN5_ACC <python main.py --config config/mn5.yml --models Llama-3.2-1B-Instruct --tasks careqa_open --num_fewshot 0>

* Add fixes, READMES, and remove task_list.txt

* pre-commit passed, add formatting updates; add nanmean agg_metric

* Fix import error.

* Wrapped imports in try excepts

* Wrapped imports in try excepts; also metrics to catch bert_score import error

* Try except to catch ImportErrors as well

* use np.nan

* pre-commit

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Co-authored-by: PabloAgustin <pablo.martin@bsc.es>
Co-authored-by: Baber <baber@hey.com>

* fix for mc2 calculation

* increment versions and changelog

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Co-authored-by: Baber <baber@hey.com>

* Filter new leaderboard_math_hard dataset to "Level 5" only

* align to linters
Signed-off-by: Yotam Perlitz <y.perlitz@ibm.com>

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Signed-off-by: Yotam Perlitz <y.perlitz@ibm.com>

* bug fix

* add warning for instruct models

* nit

* Add a test for a custom unitxt task

* Update task.py to bring in line with breaking change in v1.17.2

* Fix lint

* Enable steering HF models
Co-authored-by: Matthew Khoriaty <matthewkhoriaty2026@u.northwestern.edu>

* increase HF download timeout

* Update readme; improve steering vector device handling

* Update latest news

* remove HF timeout increase

* fix tests

* ignore sae lens test

* fix accidental force push

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Co-authored-by: Matthew Khoriaty <matthewkhoriaty2026@u.northwestern.edu>

* Fix failing tests

* Resolved merge conflicts

* pre-commit

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Co-authored-by: Baber <baber@hey.com>

* initial components to support sglang

* init of class SGLangLM

* draft for generate_until of SGLang model

* mock loglikelihood

* initial loglikelihood_tokens

* todo: fix bug of sglang engine init

* implement generation tasks and test

* support output type loglikelihood and loglikelihood_rolling (#1)

* .

* loglikelihood_rolling

* /

* support dp_size>1

* typo

* add tests and clean code

* skip tests of sglang for now

* fix OOM error of sglang pytest

* finish test for sglang

* add sglang to readme

* fix OOM of tests and clean SGLang model

* update readme

* clean pyproject and add tests for evaluator

* add accuracy tests and it passed locally

* add notes for test

* Update README.md

update readme

* pre-commit

* add OOM guideline for sglang and fix readme error

* fix typo

* fix typo

* add readme

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Co-authored-by: Xiaotong Jiang <xiaotong.jiang@databricks.com>
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: Baber <baber@hey.com>

* remove ray.remote resources

* remove kobtest tag (registered as group)

* initial components to support sglang

* init of class SGLangLM

* draft for generate_until of SGLang model

* mock loglikelihood

* initial loglikelihood_tokens

* todo: fix bug of sglang engine init

* implement generation tasks and test

* support output type loglikelihood and loglikelihood_rolling (#1)

* .

* loglikelihood_rolling

* /

* support dp_size>1

* typo

* add tests and clean code

* skip tests of sglang for now

* fix OOM error of sglang pytest

* finish test for sglang

* add sglang to readme

* fix OOM of tests and clean SGLang model

* update readme

* clean pyproject and add tests for evaluator

* add accuracy tests and it passed locally

* add notes for test

* Update README.md

update readme

* pre-commit

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Co-authored-by: Xiaotong Jiang <xiaotong.jiang@databricks.com>
Co-authored-by: Baber Abbasi <92168766+baberabb@users.noreply.github.com>
Co-authored-by: Baber <baber@hey.com>

* add humaneval+ and mbpp+

* add newline at end of file

* Fix the import source for eval_logger

* fix logging

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Co-authored-by: Baber <baber@hey.com>

Co-authored-by: Robiert Sepulveda Torres <rsepulveda911112@gmail.com>

* add Basque translation of ARC and PAWS to BasqueBench

* pre-commit

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Co-authored-by: Baber <baber@hey.com>

* add o3-mini support

* fix linter tests

Added IberoBench citation info (https://aclanthology.org/2025.coling-main.699/) in correpsonding READMEs (#2729)

* changed source of eval_logger

* allow eval_logger to be set from args

* removed verbosity arg from non-main methods

* fix logging

* pre-commit

* set verbosity in eval logger

* replace utils.eval_logger

* fix logging in main

* add logging to docs

* add logging message

* nit

* add logging to docs

* refactor setup_logging to utils

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Co-authored-by: Baber <baber@hey.com>

* add math_verify to minerva math

* add math_verify to benchmark

* fix error

* increment version

* fix vllm

* fix data_parallel

* copy to multimodal

* set target delimiter to empty string

* nit

* add warning